Mediterranean Agency for Remote Sensing and Environmental Control

Benevento, Italy

Mediterranean Agency for Remote Sensing and Environmental Control

Benevento, Italy
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Guerriero L.,University of Sannio | Revellino P.,University of Sannio | Coe J.A.,U.S. Geological Survey | Focareta M.,Mediterranean Agency for Remote Sensing and Environmental Control | And 2 more authors.
Journal of Maps | Year: 2013

Historical movement of the Montaguto earth flow in southern Italy has periodically destroyed residences and farmland, and damaged the Italian National Road SS90 and the Benevento-Foggia National Railway. This paper provides maps from an investigation into the evolution of the Montaguto earth flow from 1954 to 2010. We used aerial photos, topographic maps, LiDAR data, satellite images, and field observations to produce multi-temporal maps. The maps show the spatial and temporal distribution of back-tilted surfaces, flank ridges, and normal, thrust, and strike-slip faults. Springs, creeks, and ponds are also shown on the maps. The maps provide a basis for interpreting how basal and lateral boundary geometries influence earth-flow behavior and surface-water hydrology. © 2013 Journal of Maps.


Guerriero L.,University of Sannio | Revellino P.,University of Sannio | Luongo A.,University of Sannio | Focareta M.,Mediterranean Agency for Remote Sensing and Environmental Control | And 2 more authors.
Journal of Maps | Year: 2016

The Mount Pizzuto earth flow has been periodically active in recent decades. Early in 2006, it surged and created a dam across the Ginestra torrent. Episodic floods induced by the earth-flow dam periodically damaged a section of a local road and power and telephone service lines. This paper presents a map showing deformational structures along the flow and a geometric reconstruction of thrust faults at the earth-flow toe from 2006 to 2014. The map, produced on the basis of field observations, shows the spatial distribution of back-tilted surfaces, flank ridges and normal, thrust, and strike-slip faults. Springs, creeks, and ponds are also shown on the map. The map indicates that the earth flow is composed of five kinematic zones. Cartographic data and the spatial–temporal reconstruction of the thrusting evolution offer the basis for interpreting the (mid-term) kinematics of the flow and its controlling factors, and for assessing the influence of earth-flow movement on torrent channel capacity. © 2016 Luigi Guerriero


Cuozzo G.,Mediterranean Agency for Remote Sensing and Environmental Control | Di Bisceglie M.,University of Sannio | Fusco A.,Mediterranean Agency for Remote Sensing and Environmental Control
IEEE Transactions on Aerospace and Electronic Systems | Year: 2010

The accuracy and reliability of the measured differential path in satellite synthetic aperture radar (SAR) interferometry are strongly affected by the uncertainty in the estimation of the atmospheric contribution. Changes in the physical parameters of the medium, due to turbulence layers or gas concentrations, induce slight variations in the curvature of the propagation path that finally generate an overall disturbance term that is usually comparable, or even larger, than the displacement to be observed. A stochastic model for the three dimensional path field is derived by considering a plane wave propagating in a random layered medium. In the vertical direction a piecewise-linear walk, made by straight ray subpaths, is assumed, wherein the length of each path (thickness of the layer) and the number of paths are modelled as random variables. Along the horizontal plane mutual interactions among cells are defined through an interaction equation that closely resembles typical competitions in biological evolution models. The resulting parametric model is fitted with observations from the residual atmosphere, as measured after topographic removal in SAR images, and results are shown. © 2006 IEEE.


Ballatore P.,Mediterranean Agency for Remote Sensing and Environmental Control
International Journal of Remote Sensing | Year: 2011

This article illustrates findings about a new method for the extraction of digital elevation model (DEM) from interferograms of synthetic aperture radar (SAR) data, based on independent component analysis (ICA). This method is named InSAR-ICA, and its advantages are related to its capability in estimating topographical altitudes without taking into account any or sparse non-SAR data (e.g. ground-based or atmospheric parameters). This is especially useful in cases of mountainous regions, where large altitude changes over short distances and the presence of microclimates generally limit the possibility of DEM estimates by few SAR interferograms only. A comparison between the standard SRTM (Shuttle Radar Topographical Mission) elevations and those extracted by InSAR-ICA is carried out for the region of South Italy, Apennine Mountains. Results are interpreted in terms of the reliability of In SAR-ICA DEM estimates. © 2011 Taylor & Francis.

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